Abstract
We propose a new fuzzy range-free sensor localization methodology, using certain Euclidean notions to build convex fuzzy sets and circumvent multiple stable local minima issues, encountered in some recent range-free localization approaches. A range-free localization algorithm is developed based on the proposed methodology. Performance of the developed algorithm is tested via a set of simulations, comparatively to some recent fuzzy range-free localization algorithms in the literature.
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Kiraz, F., Fidan, B., Karray, F. (2014). A Convex Fuzzy Range-Free Sensor Network Localization Method. In: Kim, JH., Matson, E., Myung, H., Xu, P., Karray, F. (eds) Robot Intelligence Technology and Applications 2. Advances in Intelligent Systems and Computing, vol 274. Springer, Cham. https://doi.org/10.1007/978-3-319-05582-4_8
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DOI: https://doi.org/10.1007/978-3-319-05582-4_8
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05581-7
Online ISBN: 978-3-319-05582-4
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